Scientists from the Shenzhen Institutes of Advanced Technology adopted finite volume (FV)-LBM to simulate the thermal incompressible flow on unstructured grids, and proposed a parallel coupled cell-centered FV thermal lattice Boltzmann method, which has the potential to simulate flows in complicated domains.
A research team led by Prof. LI Guanglin and Prof. FANG Peng from the Shenzhen Institutes of Advanced Technology proposed an optimized deep learning algorithm for detecting sensory events occurring during stimulation of the nerves using a stretchable and flexible electrocorticography (ECoG) electrode.
Insight-HXMT, China's first space X-ray astronomical satellite, has discovered a low-frequency quasi-periodic oscillation (QPO) above 200 kiloelectron volts (keV) in a black hole binary, making it the highest energy low-frequency QPO ever found. The scientists also found that the QPO originated from the precession of a relativistic jet (high-speed outward-moving plasma stream) near the event horizon of the black hole. These discoveries have important implications for resolving the long-running debate about the physical origin of low-frequency QPOs.
Recently, scientists of EAST team found that series of Alfven Eigenmodes were excited during the formation of internal transport barrier, i.e. beta-induced Alfven Eigenmodes (BAEs), reversed shear Alfven Eigenmodes (RSAEs) and beta-induced Alfven-Acoustic Eigenmode (BAAE).
A research group led by Prof. DAI Wen from the Dalian Institute of Chemical Physics developed heterogeneous cobalt nanoparticles catalyst with dioxygen as the oxidant to break successive C？C bonds in alcohols to form esters with one or multiple carbon atoms less.
A research group led by Prof. LI Chaoxu from the Institute of Bioenergy and Bioprocess Technology, for the first time, has found that the ring-opening polymerization was initiated by sonicating liquid metal in fluidic lactones and proposed multifunctional liquid metal nanocapsules.
Under the guidance of Prof. DING Jianqing, XIAO Li, who graduated from the Wuhan Botanical Garden, conducted large scale field surveys of herbivory on the invasive tallow tree along latitudes in both its native (China) and introduced ranges (United States), and collected leaf samples for analyses of tannins and flavonoids.
The researchers from Dr. XU Xiaohong's Lab at the Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, described a novel neural circuit for detecting male pheromone cues pertaining to inter-male aggression.
Recently, scientists from the Northwest Institute of Eco-Environment and Resources (NIEER) assessed the Noah‐MP model for simulating soil hydrothermal dynamics at two typical permafrost sites with different underlying surfaces (the Tanggula site, alpine meadow; the Beiluhe site, alpine swamp) of the Qinghai-Tibet Plateau.
Recently, a research group led by Prof. KANG Shichang from the Northwest Institute of Eco-Environment and Resources (NIEER), together with researchers from other universities and research institutes, reviewed the current status of knowledge on microplastics in freshwater sediments, including methods for sample collection, analysis and detection.
Researchers from Shanghai Institute of Technical Physics and University of New South Wales developed a high performance multifunctional meta-photonic device with the capability of polarization-dispersion modulation for mid-wave infrared polarization detection.
A team led by Prof. QI Feng at the Terahertz Imaging Laboratory, Shenyang Institute of Automation, the Chinese Academy of Sciences demonstrated a fast and reliable time-domain method for removing FP effect in material characterization with THz-TDS. The study was published in the latest issue of IEEE Transactions on Terahertz Science and Technology.
A research team led by Dr. ZHANG Ximing from the Xi'an Institute of Optics and Precision Mechanics (XIOPM) proposed a novel tracking strategy to make the camera more intelligent benefiting from accurate and robust visual tracking algorithms.
A research team led by Prof. Dr. QIU Shi from the Xi'an Institute of Optics and Precision Mechanics (XIOPM) proposed the modified Gaussian mixture model algorithm to reduce the error judgment probability of pixel state and extract the moving target accurately.
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